Technology Overview: a Report on Data Mining

In this report we present a technology assessment of a spectrum of mathematical methods and software techniques for data mining, i.e., for nding patterns and regularities in sets of data. After an introduction to the subject, the second part of the paper describes the essentials of a variety of methods for data mining through supervised and un-supervised learning. In the third part of the report we present results from the application of data mining techniques to diierent application areas such as chemical and pharmaceutical chemistry, retail and consumer banking, remote sensing, and the handling of engineering and maintenance data.